Top Machine Learning Jobs in Krakow
As an ML Ops Engineer, you'll develop, deploy, and maintain the infrastructure for Machine Learning to support Data Science and Machine Learning Teams, focusing on automating modeling processes and managing the full ML lifecycle.
As a Senior Software Engineer at Accuris, you will enhance and maintain advanced information retrieval solutions, focusing on scalable processing pipelines and deploying machine learning models. Responsibilities include leading design implementation in a microservice-based architecture and collaborating with cross-functional teams for high-quality product delivery.
The Manager of Software Engineering will lead and mentor an engineering team focused on developing a robust merchant approval and risk monitoring platform. Responsibilities include system reliability, performance management, and collaboration with product managers and other engineering teams to enhance merchant risk processes.
The Engineering Manager in AI/ML will lead a team of engineers, focusing on product delivery, team development, and research in AI/ML technologies. Responsibilities include managing workflows, planning tasks, and ensuring timely delivery of solutions, while also engaging in architecture and scaling of production ML services.
The Senior Deep Learning Engineer will develop and validate deep neural network architectures for real-time image processing, create training and testing pipelines, and implement state-of-the-art techniques in deep learning applications for the retail sector.
The Senior Machine Learning Engineer will analyze data, build and implement features to enhance model performance, and optimize recommendation systems. You will collaborate with various teams and present data findings to maximize business impact.
As an ML Engineer, you will develop machine learning algorithms for in-cabin sensing, train deep neural networks, and tackle algorithmic challenges like object detection and tracking. Your role involves writing efficient software in Python and C++, working in an Agile SW development team, and contributing to the improvement of vehicle cabin safety and comfort.
The Expert ML Engineer will develop advanced machine learning algorithms for in-cabin sensing in vehicles, oversee software quality in Python/C++, improve ML workflows, mentor junior engineers, and engage in innovative technology projects within a collaborative Agile team.
As an Expert Embedded ML Engineer, you will develop innovative software and machine learning algorithms for in-cabin sensing technologies. Your key responsibilities include deploying C/C++ ML applications, optimizing neural networks for performance, and collaborating with a team of engineers on software development. You will also mentor junior engineers and work in an Agile environment.
As an Expert ML Simulation Engineer, you will develop advanced simulations and software tools for synthetic data generation in automotive applications, working closely with machine learning engineers. Responsibilities include modeling 3D assets, minimizing the domain gap for ML training, and ensuring high-quality, efficient Python software development.
As an Embedded ML Engineer, you will design, develop, and validate machine learning applications for vehicle safety and comfort systems, optimizing neural networks and working in an Agile team.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.
As a Senior Software Engineer, you'll develop AI-powered architecture design tools, contributing to web-based 3D frameworks and cloud computing projects. You'll collaborate within a team, share knowledge, and mentor peers, focusing on delivering impactful solutions.
As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.
As an Expert ML Data Engineer, you will collect and manage datasets for ML model training, coordinate data collection, build dashboards for data monitoring, use machine learning methods, and develop high-quality software in Python within an Agile team.
The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.
As a Staff Engineer, you will enhance web tools for utility companies to manage risks related to climate change, focusing on scalability and performance. You will solve technical challenges, lead cross-team initiatives, define coding standards, and mentor other engineers while driving impactful technology decisions for business needs.
As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.
The Solutions Engineer will lead technical sales processes, design customer solutions using Cloudera technologies, and build relationships to ensure client success. Responsibilities include conducting demonstrations, collaborating with account managers, and advocating for customer needs to product management.
As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.
The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.
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